Overview

Brought to you by YData

Dataset statistics

Number of variables19
Number of observations250000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory38.1 MiB
Average record size in memory160.0 B

Variable types

Numeric18
Categorical1

Alerts

DER_deltar_tau_lep is highly overall correlated with DER_mass_visHigh correlation
DER_mass_MMC is highly overall correlated with DER_mass_visHigh correlation
DER_mass_transverse_met_lep is highly overall correlated with WeightHigh correlation
DER_mass_vis is highly overall correlated with DER_deltar_tau_lep and 1 other fieldsHigh correlation
Label is highly overall correlated with WeightHigh correlation
PRI_lep_eta is highly overall correlated with PRI_tau_etaHigh correlation
PRI_tau_eta is highly overall correlated with PRI_lep_etaHigh correlation
Weight is highly overall correlated with DER_mass_transverse_met_lep and 1 other fieldsHigh correlation
DER_mass_MMC has 38114 (15.2%) zeros Zeros
PRI_jet_leading_eta has 99939 (40.0%) zeros Zeros
PRI_jet_leading_phi has 99932 (40.0%) zeros Zeros
PRI_jet_subleading_eta has 177466 (71.0%) zeros Zeros
PRI_jet_subleading_phi has 177467 (71.0%) zeros Zeros

Reproduction

Analysis started2025-09-15 07:33:39.092499
Analysis finished2025-09-15 07:36:02.076974
Duration2 minutes and 22.98 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

DER_mass_MMC
Real number (ℝ)

High correlation  Zeros 

Distinct108338
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.28046
Minimum0
Maximum1192.026
Zeros38114
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:02.616038image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q178.10075
median105.012
Q3130.60625
95-th percentile201.808
Maximum1192.026
Range1192.026
Interquartile range (IQR)52.5055

Descriptive statistics

Standard deviation68.566103
Coefficient of variation (CV)0.66388259
Kurtosis12.801012
Mean103.28046
Median Absolute Deviation (MAD)26.153
Skewness1.8600377
Sum25820116
Variance4701.3104
MonotonicityNot monotonic
2025-09-15T13:06:03.334807image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38114
 
15.2%
108.914 10
 
< 0.1%
96.819 10
 
< 0.1%
103.762 10
 
< 0.1%
108.957 10
 
< 0.1%
113.965 10
 
< 0.1%
130.799 10
 
< 0.1%
111.123 10
 
< 0.1%
132.292 10
 
< 0.1%
102.114 10
 
< 0.1%
Other values (108328) 211796
84.7%
ValueCountFrequency (%)
0 38114
15.2%
9.044 1
 
< 0.1%
9.222 1
 
< 0.1%
9.653 1
 
< 0.1%
9.806 1
 
< 0.1%
9.878 1
 
< 0.1%
10.274 1
 
< 0.1%
10.499 1
 
< 0.1%
10.631 1
 
< 0.1%
10.865 1
 
< 0.1%
ValueCountFrequency (%)
1192.026 1
< 0.1%
988.199 1
< 0.1%
987.561 1
< 0.1%
985.102 1
< 0.1%
980.192 1
< 0.1%
977.515 1
< 0.1%
977.333 1
< 0.1%
970.416 1
< 0.1%
966.986 1
< 0.1%
966.745 1
< 0.1%

DER_mass_transverse_met_lep
Real number (ℝ)

High correlation 

Distinct101637
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.239819
Minimum0
Maximum690.075
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:03.983074image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.38895
Q119.241
median46.524
Q373.598
95-th percentile104.6442
Maximum690.075
Range690.075
Interquartile range (IQR)54.357

Descriptive statistics

Standard deviation35.344886
Coefficient of variation (CV)0.71781103
Kurtosis6.3667875
Mean49.239819
Median Absolute Deviation (MAD)27.179
Skewness1.2192109
Sum12309955
Variance1249.2609
MonotonicityNot monotonic
2025-09-15T13:06:04.648458image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.8 13
 
< 0.1%
9.362 12
 
< 0.1%
3.501 12
 
< 0.1%
2.5 12
 
< 0.1%
3.183 12
 
< 0.1%
33.615 11
 
< 0.1%
11.531 11
 
< 0.1%
11.028 11
 
< 0.1%
0.113 11
 
< 0.1%
0.042 11
 
< 0.1%
Other values (101627) 249884
> 99.9%
ValueCountFrequency (%)
0 3
< 0.1%
0.001 1
 
< 0.1%
0.002 4
< 0.1%
0.003 4
< 0.1%
0.004 2
 
< 0.1%
0.005 4
< 0.1%
0.006 6
< 0.1%
0.007 2
 
< 0.1%
0.008 2
 
< 0.1%
0.009 7
< 0.1%
ValueCountFrequency (%)
690.075 1
< 0.1%
595.819 1
< 0.1%
594.287 1
< 0.1%
571.868 1
< 0.1%
570.115 1
< 0.1%
566.04 1
< 0.1%
555.798 1
< 0.1%
542.328 1
< 0.1%
531.624 1
< 0.1%
519.714 1
< 0.1%

DER_mass_vis
Real number (ℝ)

High correlation 

Distinct100558
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.181982
Minimum6.329
Maximum1349.351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:05.317478image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum6.329
5-th percentile37.87395
Q159.38875
median73.752
Q392.259
95-th percentile149.27005
Maximum1349.351
Range1343.022
Interquartile range (IQR)32.87025

Descriptive statistics

Standard deviation40.828691
Coefficient of variation (CV)0.50292799
Kurtosis35.49351
Mean81.181982
Median Absolute Deviation (MAD)16.032
Skewness3.790262
Sum20295495
Variance1666.982
MonotonicityNot monotonic
2025-09-15T13:06:05.980229image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.819 16
 
< 0.1%
61.286 15
 
< 0.1%
70.412 14
 
< 0.1%
76.629 13
 
< 0.1%
71.097 13
 
< 0.1%
79.36 13
 
< 0.1%
59.87 13
 
< 0.1%
58.821 13
 
< 0.1%
76.546 13
 
< 0.1%
62.044 13
 
< 0.1%
Other values (100548) 249864
99.9%
ValueCountFrequency (%)
6.329 1
< 0.1%
6.462 1
< 0.1%
7.12 1
< 0.1%
7.202 1
< 0.1%
7.33 1
< 0.1%
7.397 1
< 0.1%
7.52 1
< 0.1%
7.946 1
< 0.1%
8.345 1
< 0.1%
9.281 1
< 0.1%
ValueCountFrequency (%)
1349.351 1
< 0.1%
1329.913 1
< 0.1%
1153.166 1
< 0.1%
1051.358 1
< 0.1%
1034.205 1
< 0.1%
959.601 1
< 0.1%
922.885 1
< 0.1%
798.219 1
< 0.1%
789.538 1
< 0.1%
752.105 1
< 0.1%

DER_deltar_tau_lep
Real number (ℝ)

High correlation 

Distinct4692
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3730998
Minimum0.208
Maximum5.684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:06.654032image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.208
5-th percentile0.973
Q11.81
median2.4915
Q32.961
95-th percentile3.441
Maximum5.684
Range5.476
Interquartile range (IQR)1.151

Descriptive statistics

Standard deviation0.78291112
Coefficient of variation (CV)0.32991074
Kurtosis-0.22244564
Mean2.3730998
Median Absolute Deviation (MAD)0.5405
Skewness-0.21578159
Sum593274.96
Variance0.61294982
MonotonicityNot monotonic
2025-09-15T13:06:07.406859image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.094 202
 
0.1%
3.131 201
 
0.1%
3.078 199
 
0.1%
3.117 197
 
0.1%
2.904 194
 
0.1%
3.098 193
 
0.1%
3.12 193
 
0.1%
3.133 193
 
0.1%
3.107 191
 
0.1%
3.1 190
 
0.1%
Other values (4682) 248047
99.2%
ValueCountFrequency (%)
0.208 1
< 0.1%
0.224 1
< 0.1%
0.228 1
< 0.1%
0.246 1
< 0.1%
0.256 1
< 0.1%
0.264 1
< 0.1%
0.267 1
< 0.1%
0.277 1
< 0.1%
0.284 1
< 0.1%
0.3 1
< 0.1%
ValueCountFrequency (%)
5.684 1
< 0.1%
5.655 1
< 0.1%
5.642 1
< 0.1%
5.626 1
< 0.1%
5.624 1
< 0.1%
5.579 1
< 0.1%
5.546 1
< 0.1%
5.544 1
< 0.1%
5.535 2
< 0.1%
5.524 1
< 0.1%

DER_pt_tot
Real number (ℝ)

Distinct59042
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.917332
Minimum0
Maximum2834.999
Zeros39
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:08.033651image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.733
Q12.841
median12.3155
Q327.591
95-th percentile56.68915
Maximum2834.999
Range2834.999
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation22.273494
Coefficient of variation (CV)1.177412
Kurtosis1036.4908
Mean18.917332
Median Absolute Deviation (MAD)10.7275
Skewness10.579309
Sum4729333.1
Variance496.10852
MonotonicityNot monotonic
2025-09-15T13:06:08.783326image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.072 44
 
< 0.1%
0.964 43
 
< 0.1%
1.282 43
 
< 0.1%
0.851 41
 
< 0.1%
1.308 41
 
< 0.1%
1.503 40
 
< 0.1%
0.892 40
 
< 0.1%
1.693 40
 
< 0.1%
1.26 40
 
< 0.1%
1.528 39
 
< 0.1%
Other values (59032) 249589
99.8%
ValueCountFrequency (%)
0 39
< 0.1%
0.001 2
 
< 0.1%
0.003 1
 
< 0.1%
0.004 2
 
< 0.1%
0.005 1
 
< 0.1%
0.008 1
 
< 0.1%
0.009 1
 
< 0.1%
0.011 1
 
< 0.1%
0.012 4
 
< 0.1%
0.013 1
 
< 0.1%
ValueCountFrequency (%)
2834.999 1
< 0.1%
513.659 1
< 0.1%
466.525 1
< 0.1%
403.195 1
< 0.1%
372.721 1
< 0.1%
371.876 1
< 0.1%
361.311 1
< 0.1%
334.889 1
< 0.1%
333.579 1
< 0.1%
330.527 1
< 0.1%

DER_met_phi_centrality
Real number (ℝ)

Distinct2829
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.12830471
Minimum-1.414
Maximum1.414
Zeros53
Zeros (%)< 0.1%
Negative134906
Negative (%)54.0%
Memory size3.8 MiB
2025-09-15T13:06:09.435495image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-1.414
5-th percentile-1.413
Q1-1.371
median-0.356
Q31.225
95-th percentile1.412
Maximum1.414
Range2.828
Interquartile range (IQR)2.596

Descriptive statistics

Standard deviation1.1935848
Coefficient of variation (CV)-9.3027361
Kurtosis-1.7681088
Mean-0.12830471
Median Absolute Deviation (MAD)1.052
Skewness0.15113627
Sum-32076.177
Variance1.4246448
MonotonicityNot monotonic
2025-09-15T13:06:10.025617image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.414 11429
 
4.6%
1.414 7778
 
3.1%
-1.413 5227
 
2.1%
-1.412 3514
 
1.4%
1.413 3345
 
1.3%
-1.411 2820
 
1.1%
-1.41 2341
 
0.9%
1.412 2205
 
0.9%
-1.409 2178
 
0.9%
-1.408 1929
 
0.8%
Other values (2819) 207234
82.9%
ValueCountFrequency (%)
-1.414 11429
4.6%
-1.413 5227
2.1%
-1.412 3514
 
1.4%
-1.411 2820
 
1.1%
-1.41 2341
 
0.9%
-1.409 2178
 
0.9%
-1.408 1929
 
0.8%
-1.407 1759
 
0.7%
-1.406 1641
 
0.7%
-1.405 1493
 
0.6%
ValueCountFrequency (%)
1.414 7778
3.1%
1.413 3345
1.3%
1.412 2205
 
0.9%
1.411 1724
 
0.7%
1.41 1450
 
0.6%
1.409 1236
 
0.5%
1.408 1081
 
0.4%
1.407 1010
 
0.4%
1.406 911
 
0.4%
1.405 841
 
0.3%

PRI_tau_pt
Real number (ℝ)

Distinct59639
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.707419
Minimum20
Maximum764.408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:10.667961image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20.787
Q124.59175
median31.804
Q345.017
95-th percentile77.88245
Maximum764.408
Range744.408
Interquartile range (IQR)20.42525

Descriptive statistics

Standard deviation22.412081
Coefficient of variation (CV)0.57901253
Kurtosis30.511711
Mean38.707419
Median Absolute Deviation (MAD)8.629
Skewness3.7551908
Sum9676854.8
Variance502.30136
MonotonicityNot monotonic
2025-09-15T13:06:11.365538image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21.134 32
 
< 0.1%
20.059 30
 
< 0.1%
20.048 29
 
< 0.1%
20.195 29
 
< 0.1%
22.257 29
 
< 0.1%
21.219 29
 
< 0.1%
20.876 28
 
< 0.1%
21.575 28
 
< 0.1%
20.661 28
 
< 0.1%
20.525 27
 
< 0.1%
Other values (59629) 249711
99.9%
ValueCountFrequency (%)
20 17
< 0.1%
20.001 15
< 0.1%
20.002 15
< 0.1%
20.003 17
< 0.1%
20.004 19
< 0.1%
20.005 13
< 0.1%
20.006 15
< 0.1%
20.007 18
< 0.1%
20.008 19
< 0.1%
20.009 11
< 0.1%
ValueCountFrequency (%)
764.408 1
< 0.1%
622.862 1
< 0.1%
505.06 1
< 0.1%
449.648 1
< 0.1%
415.985 1
< 0.1%
396.875 1
< 0.1%
389.958 1
< 0.1%
384.756 1
< 0.1%
383.67 1
< 0.1%
382.544 1
< 0.1%

PRI_tau_eta
Real number (ℝ)

High correlation 

Distinct4971
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.010973048
Minimum-2.499
Maximum2.497
Zeros0
Zeros (%)0.0%
Negative126312
Negative (%)50.5%
Memory size3.8 MiB
2025-09-15T13:06:12.043406image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-2.499
5-th percentile-2.011
Q1-0.925
median-0.023
Q30.898
95-th percentile2.011
Maximum2.497
Range4.996
Interquartile range (IQR)1.823

Descriptive statistics

Standard deviation1.2140786
Coefficient of variation (CV)-110.64188
Kurtosis-0.84229028
Mean-0.010973048
Median Absolute Deviation (MAD)0.912
Skewness0.017852287
Sum-2743.262
Variance1.473987
MonotonicityNot monotonic
2025-09-15T13:06:12.732925image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.152 141
 
0.1%
-0.152 131
 
0.1%
-0.301 129
 
0.1%
-0.899 124
 
< 0.1%
0.3 122
 
< 0.1%
0.301 122
 
< 0.1%
-0.898 121
 
< 0.1%
-0.901 121
 
< 0.1%
0.901 121
 
< 0.1%
0.899 119
 
< 0.1%
Other values (4961) 248749
99.5%
ValueCountFrequency (%)
-2.499 1
 
< 0.1%
-2.498 3
< 0.1%
-2.497 1
 
< 0.1%
-2.496 2
 
< 0.1%
-2.495 3
< 0.1%
-2.494 4
< 0.1%
-2.493 2
 
< 0.1%
-2.492 2
 
< 0.1%
-2.491 5
< 0.1%
-2.489 1
 
< 0.1%
ValueCountFrequency (%)
2.497 2
 
< 0.1%
2.495 1
 
< 0.1%
2.494 2
 
< 0.1%
2.493 1
 
< 0.1%
2.492 4
< 0.1%
2.491 1
 
< 0.1%
2.489 2
 
< 0.1%
2.488 1
 
< 0.1%
2.487 2
 
< 0.1%
2.486 5
< 0.1%

PRI_tau_phi
Real number (ℝ)

Distinct6285
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.008171072
Minimum-3.142
Maximum3.142
Zeros32
Zeros (%)< 0.1%
Negative126066
Negative (%)50.4%
Memory size3.8 MiB
2025-09-15T13:06:13.301609image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-3.142
5-th percentile-2.829
Q1-1.575
median-0.033
Q31.565
95-th percentile2.83
Maximum3.142
Range6.284
Interquartile range (IQR)3.14

Descriptive statistics

Standard deviation1.816763
Coefficient of variation (CV)-222.34084
Kurtosis-1.200578
Mean-0.008171072
Median Absolute Deviation (MAD)1.569
Skewness0.013872225
Sum-2042.768
Variance3.300628
MonotonicityNot monotonic
2025-09-15T13:06:13.939383image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.988 72
 
< 0.1%
-1.235 69
 
< 0.1%
-0.542 66
 
< 0.1%
-2.017 66
 
< 0.1%
-0.54 65
 
< 0.1%
-1.029 64
 
< 0.1%
-0.536 64
 
< 0.1%
1.215 63
 
< 0.1%
-0.15 62
 
< 0.1%
0.64 62
 
< 0.1%
Other values (6275) 249347
99.7%
ValueCountFrequency (%)
-3.142 4
 
< 0.1%
-3.141 33
< 0.1%
-3.14 36
< 0.1%
-3.139 43
< 0.1%
-3.138 32
< 0.1%
-3.137 36
< 0.1%
-3.136 46
< 0.1%
-3.135 36
< 0.1%
-3.134 42
< 0.1%
-3.133 29
< 0.1%
ValueCountFrequency (%)
3.142 5
 
< 0.1%
3.141 35
< 0.1%
3.14 29
< 0.1%
3.139 21
 
< 0.1%
3.138 35
< 0.1%
3.137 34
< 0.1%
3.136 53
< 0.1%
3.135 29
< 0.1%
3.134 29
< 0.1%
3.133 34
< 0.1%

PRI_lep_eta
Real number (ℝ)

High correlation 

Distinct4987
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.019507468
Minimum-2.505
Maximum2.503
Zeros35
Zeros (%)< 0.1%
Negative126686
Negative (%)50.7%
Memory size3.8 MiB
2025-09-15T13:06:14.528094image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-2.505
5-th percentile-2.072
Q1-1.014
median-0.045
Q30.959
95-th percentile2.066
Maximum2.503
Range5.008
Interquartile range (IQR)1.973

Descriptive statistics

Standard deviation1.2649821
Coefficient of variation (CV)-64.846045
Kurtosis-0.95697637
Mean-0.019507468
Median Absolute Deviation (MAD)0.988
Skewness0.021623445
Sum-4876.867
Variance1.6001798
MonotonicityNot monotonic
2025-09-15T13:06:15.165281image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.307 106
 
< 0.1%
-0.206 105
 
< 0.1%
0.392 95
 
< 0.1%
-0.629 94
 
< 0.1%
0.364 94
 
< 0.1%
0.524 92
 
< 0.1%
-0.158 91
 
< 0.1%
0.335 90
 
< 0.1%
0.34 90
 
< 0.1%
-0.644 90
 
< 0.1%
Other values (4977) 249053
99.6%
ValueCountFrequency (%)
-2.505 1
 
< 0.1%
-2.494 1
 
< 0.1%
-2.49 3
< 0.1%
-2.489 2
< 0.1%
-2.487 2
< 0.1%
-2.486 1
 
< 0.1%
-2.485 3
< 0.1%
-2.483 1
 
< 0.1%
-2.482 1
 
< 0.1%
-2.48 4
< 0.1%
ValueCountFrequency (%)
2.503 1
< 0.1%
2.502 1
< 0.1%
2.499 1
< 0.1%
2.497 1
< 0.1%
2.496 1
< 0.1%
2.494 2
< 0.1%
2.493 1
< 0.1%
2.492 1
< 0.1%
2.491 1
< 0.1%
2.49 2
< 0.1%

PRI_lep_phi
Real number (ℝ)

Distinct6285
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.043542964
Minimum-3.142
Maximum3.142
Zeros33
Zeros (%)< 0.1%
Negative121597
Negative (%)48.6%
Memory size3.8 MiB
2025-09-15T13:06:15.783327image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-3.142
5-th percentile-2.834
Q1-1.522
median0.086
Q31.618
95-th percentile2.838
Maximum3.142
Range6.284
Interquartile range (IQR)3.14

Descriptive statistics

Standard deviation1.8166113
Coefficient of variation (CV)41.719973
Kurtosis-1.1901175
Mean0.043542964
Median Absolute Deviation (MAD)1.571
Skewness-0.045746246
Sum10885.741
Variance3.3000765
MonotonicityNot monotonic
2025-09-15T13:06:16.481420image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.05 64
 
< 0.1%
1.606 64
 
< 0.1%
1.917 64
 
< 0.1%
-0.171 63
 
< 0.1%
0.086 62
 
< 0.1%
1.762 62
 
< 0.1%
0.207 62
 
< 0.1%
0.948 62
 
< 0.1%
0.687 62
 
< 0.1%
2.189 62
 
< 0.1%
Other values (6275) 249373
99.7%
ValueCountFrequency (%)
-3.142 9
 
< 0.1%
-3.141 44
< 0.1%
-3.14 41
< 0.1%
-3.139 40
< 0.1%
-3.138 40
< 0.1%
-3.137 41
< 0.1%
-3.136 41
< 0.1%
-3.135 40
< 0.1%
-3.134 34
< 0.1%
-3.133 39
< 0.1%
ValueCountFrequency (%)
3.142 2
 
< 0.1%
3.141 40
< 0.1%
3.14 36
< 0.1%
3.139 42
< 0.1%
3.138 34
< 0.1%
3.137 41
< 0.1%
3.136 41
< 0.1%
3.135 47
< 0.1%
3.134 47
< 0.1%
3.133 40
< 0.1%

PRI_met
Real number (ℝ)

Distinct87836
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.717235
Minimum0.109
Maximum2842.617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:17.082198image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.109
5-th percentile8.42995
Q121.398
median34.802
Q351.895
95-th percentile99.891
Maximum2842.617
Range2842.508
Interquartile range (IQR)30.497

Descriptive statistics

Standard deviation32.894693
Coefficient of variation (CV)0.78851567
Kurtosis227.34004
Mean41.717235
Median Absolute Deviation (MAD)14.829
Skewness5.2707549
Sum10429309
Variance1082.0608
MonotonicityNot monotonic
2025-09-15T13:06:17.618136image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31.252 15
 
< 0.1%
31.701 14
 
< 0.1%
27.915 13
 
< 0.1%
26.642 13
 
< 0.1%
15.307 13
 
< 0.1%
26.781 13
 
< 0.1%
32.442 13
 
< 0.1%
29.685 13
 
< 0.1%
25.933 13
 
< 0.1%
47.12 13
 
< 0.1%
Other values (87826) 249867
99.9%
ValueCountFrequency (%)
0.109 1
< 0.1%
0.155 1
< 0.1%
0.162 1
< 0.1%
0.179 1
< 0.1%
0.2 1
< 0.1%
0.208 1
< 0.1%
0.224 1
< 0.1%
0.247 1
< 0.1%
0.251 1
< 0.1%
0.26 1
< 0.1%
ValueCountFrequency (%)
2842.617 1
< 0.1%
951.363 1
< 0.1%
695.533 1
< 0.1%
593.237 1
< 0.1%
551.06 1
< 0.1%
542.365 1
< 0.1%
536.468 1
< 0.1%
528.487 1
< 0.1%
493.294 1
< 0.1%
489.919 1
< 0.1%

PRI_met_phi
Real number (ℝ)

Distinct6285
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.010119192
Minimum-3.142
Maximum3.142
Zeros44
Zeros (%)< 0.1%
Negative125953
Negative (%)50.4%
Memory size3.8 MiB
2025-09-15T13:06:18.211532image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-3.142
5-th percentile-2.831
Q1-1.575
median-0.024
Q31.561
95-th percentile2.823
Maximum3.142
Range6.284
Interquartile range (IQR)3.136

Descriptive statistics

Standard deviation1.8122227
Coefficient of variation (CV)-179.08769
Kurtosis-1.1960746
Mean-0.010119192
Median Absolute Deviation (MAD)1.568
Skewness0.0079077601
Sum-2529.798
Variance3.2841511
MonotonicityNot monotonic
2025-09-15T13:06:18.785805image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-2.091 66
 
< 0.1%
-2.063 65
 
< 0.1%
1.6 64
 
< 0.1%
-2.911 64
 
< 0.1%
0.516 63
 
< 0.1%
2.409 61
 
< 0.1%
0.931 61
 
< 0.1%
0.263 61
 
< 0.1%
-3.113 61
 
< 0.1%
2.429 60
 
< 0.1%
Other values (6275) 249374
99.7%
ValueCountFrequency (%)
-3.142 3
 
< 0.1%
-3.141 35
< 0.1%
-3.14 30
< 0.1%
-3.139 43
< 0.1%
-3.138 43
< 0.1%
-3.137 42
< 0.1%
-3.136 33
< 0.1%
-3.135 44
< 0.1%
-3.134 49
< 0.1%
-3.133 37
< 0.1%
ValueCountFrequency (%)
3.142 6
 
< 0.1%
3.141 41
< 0.1%
3.14 37
< 0.1%
3.139 26
< 0.1%
3.138 47
< 0.1%
3.137 42
< 0.1%
3.136 48
< 0.1%
3.135 42
< 0.1%
3.134 55
< 0.1%
3.133 33
< 0.1%

PRI_jet_leading_eta
Real number (ℝ)

Zeros 

Distinct8557
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.001965892
Minimum-4.499
Maximum4.499
Zeros99939
Zeros (%)40.0%
Negative75033
Negative (%)30.0%
Memory size3.8 MiB
2025-09-15T13:06:19.340928image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-4.499
5-th percentile-2.563
Q1-0.433
median0
Q30.433
95-th percentile2.559
Maximum4.499
Range8.998
Interquartile range (IQR)0.866

Descriptive statistics

Standard deviation1.3827033
Coefficient of variation (CV)-703.3465
Kurtosis0.83316972
Mean-0.001965892
Median Absolute Deviation (MAD)0.433
Skewness-0.0026451198
Sum-491.473
Variance1.9118683
MonotonicityNot monotonic
2025-09-15T13:06:19.864604image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99939
40.0%
-1.507 64
 
< 0.1%
0.906 52
 
< 0.1%
-1.699 52
 
< 0.1%
1.702 49
 
< 0.1%
0.912 49
 
< 0.1%
-1.508 48
 
< 0.1%
-0.542 47
 
< 0.1%
0.554 47
 
< 0.1%
0.166 47
 
< 0.1%
Other values (8547) 149606
59.8%
ValueCountFrequency (%)
-4.499 1
< 0.1%
-4.497 2
< 0.1%
-4.496 1
< 0.1%
-4.489 1
< 0.1%
-4.485 2
< 0.1%
-4.481 1
< 0.1%
-4.479 1
< 0.1%
-4.478 1
< 0.1%
-4.476 1
< 0.1%
-4.475 1
< 0.1%
ValueCountFrequency (%)
4.499 1
 
< 0.1%
4.492 1
 
< 0.1%
4.491 1
 
< 0.1%
4.485 2
< 0.1%
4.484 1
 
< 0.1%
4.483 1
 
< 0.1%
4.482 3
< 0.1%
4.479 1
 
< 0.1%
4.477 1
 
< 0.1%
4.476 2
< 0.1%

PRI_jet_leading_phi
Real number (ℝ)

Zeros 

Distinct6284
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.007440008
Minimum-3.142
Maximum3.141
Zeros99932
Zeros (%)40.0%
Negative75804
Negative (%)30.3%
Memory size3.8 MiB
2025-09-15T13:06:20.364252image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-3.142
5-th percentile-2.616
Q1-0.556
median0
Q30.503
95-th percentile2.617
Maximum3.141
Range6.283
Interquartile range (IQR)1.059

Descriptive statistics

Standard deviation1.4050609
Coefficient of variation (CV)-188.85206
Kurtosis-0.0071584591
Mean-0.007440008
Median Absolute Deviation (MAD)0.53
Skewness0.011086048
Sum-1860.002
Variance1.9741961
MonotonicityNot monotonic
2025-09-15T13:06:20.884654image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99932
40.0%
-0.157 46
 
< 0.1%
2.127 44
 
< 0.1%
-1.736 42
 
< 0.1%
1.018 42
 
< 0.1%
-2.055 42
 
< 0.1%
-2.335 42
 
< 0.1%
2.087 41
 
< 0.1%
-1.562 41
 
< 0.1%
-0.626 40
 
< 0.1%
Other values (6274) 149688
59.9%
ValueCountFrequency (%)
-3.142 3
 
< 0.1%
-3.141 16
< 0.1%
-3.14 26
< 0.1%
-3.139 25
< 0.1%
-3.138 18
< 0.1%
-3.137 25
< 0.1%
-3.136 22
< 0.1%
-3.135 23
< 0.1%
-3.134 18
< 0.1%
-3.133 20
< 0.1%
ValueCountFrequency (%)
3.141 15
< 0.1%
3.14 27
< 0.1%
3.139 11
< 0.1%
3.138 25
< 0.1%
3.137 18
< 0.1%
3.136 18
< 0.1%
3.135 18
< 0.1%
3.134 17
< 0.1%
3.133 27
< 0.1%
3.132 23
< 0.1%

PRI_jet_subleading_eta
Real number (ℝ)

Zeros 

Distinct8627
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.003437164
Minimum-4.5
Maximum4.5
Zeros177466
Zeros (%)71.0%
Negative36374
Negative (%)14.5%
Memory size3.8 MiB
2025-09-15T13:06:21.419289image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-4.5
5-th percentile-2.18
Q10
median0
Q30
95-th percentile2.152
Maximum4.5
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0944591
Coefficient of variation (CV)-318.41924
Kurtosis4.2603527
Mean-0.003437164
Median Absolute Deviation (MAD)0
Skewness-0.032388844
Sum-859.291
Variance1.1978408
MonotonicityNot monotonic
2025-09-15T13:06:21.986819image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177466
71.0%
0.031 26
 
< 0.1%
1.42 26
 
< 0.1%
0.388 26
 
< 0.1%
-0.394 26
 
< 0.1%
-1.699 26
 
< 0.1%
1.511 26
 
< 0.1%
1.606 25
 
< 0.1%
-0.014 24
 
< 0.1%
-0.278 24
 
< 0.1%
Other values (8617) 72305
28.9%
ValueCountFrequency (%)
-4.5 2
< 0.1%
-4.498 1
 
< 0.1%
-4.497 2
< 0.1%
-4.495 1
 
< 0.1%
-4.491 4
< 0.1%
-4.49 2
< 0.1%
-4.488 2
< 0.1%
-4.487 1
 
< 0.1%
-4.483 1
 
< 0.1%
-4.482 1
 
< 0.1%
ValueCountFrequency (%)
4.5 2
< 0.1%
4.498 1
< 0.1%
4.497 1
< 0.1%
4.496 1
< 0.1%
4.493 1
< 0.1%
4.492 1
< 0.1%
4.489 1
< 0.1%
4.488 1
< 0.1%
4.486 2
< 0.1%
4.483 1
< 0.1%

PRI_jet_subleading_phi
Real number (ℝ)

Zeros 

Distinct6285
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.000459136
Minimum-3.142
Maximum3.142
Zeros177467
Zeros (%)71.0%
Negative36286
Negative (%)14.5%
Memory size3.8 MiB
2025-09-15T13:06:22.579275image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum-3.142
5-th percentile-2.067
Q10
median0
Q30
95-th percentile2.06
Maximum3.142
Range6.284
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.97874297
Coefficient of variation (CV)-2131.706
Kurtosis3.1768963
Mean-0.000459136
Median Absolute Deviation (MAD)0
Skewness0.0032368449
Sum-114.784
Variance0.9579378
MonotonicityNot monotonic
2025-09-15T13:06:23.232518image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177467
71.0%
-2.135 30
 
< 0.1%
-0.957 26
 
< 0.1%
2.81 25
 
< 0.1%
1.894 25
 
< 0.1%
1.162 24
 
< 0.1%
-0.565 24
 
< 0.1%
-0.37 23
 
< 0.1%
-2.947 23
 
< 0.1%
-2.542 23
 
< 0.1%
Other values (6275) 72310
28.9%
ValueCountFrequency (%)
-3.142 2
 
< 0.1%
-3.141 10
< 0.1%
-3.14 14
< 0.1%
-3.139 10
< 0.1%
-3.138 13
< 0.1%
-3.137 13
< 0.1%
-3.136 9
< 0.1%
-3.135 15
< 0.1%
-3.134 12
< 0.1%
-3.133 16
< 0.1%
ValueCountFrequency (%)
3.142 2
 
< 0.1%
3.141 9
< 0.1%
3.14 7
< 0.1%
3.139 14
< 0.1%
3.138 12
< 0.1%
3.137 11
< 0.1%
3.136 11
< 0.1%
3.135 12
< 0.1%
3.134 17
< 0.1%
3.133 8
< 0.1%

Weight
Real number (ℝ)

High correlation 

Distinct104094
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6467673
Minimum0.00150187
Maximum7.8225425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 MiB
2025-09-15T13:06:23.823443image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Quantile statistics

Minimum0.00150187
5-th percentile0.001502705
Q10.018636117
median1.1561875
Q32.4041283
95-th percentile5.3480337
Maximum7.8225425
Range7.8210407
Interquartile range (IQR)2.3854922

Descriptive statistics

Standard deviation1.8751033
Coefficient of variation (CV)1.1386571
Kurtosis-0.15449597
Mean1.6467673
Median Absolute Deviation (MAD)1.1375514
Skewness0.99063269
Sum411691.84
Variance3.5160124
MonotonicityNot monotonic
2025-09-15T13:06:24.509175image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.001502705 38552
 
15.4%
0.018636117 32352
 
12.9%
1.681611443 17259
 
6.9%
0.744056247 10351
 
4.1%
0.002653311 7789
 
3.1%
0.00150187 6974
 
2.8%
1.454848473 6818
 
2.7%
0.07389913 5051
 
2.0%
0.071357137 4657
 
1.9%
0.309795156 4013
 
1.6%
Other values (104084) 116184
46.5%
ValueCountFrequency (%)
0.00150187 6974
 
2.8%
0.001502705 38552
15.4%
0.002653311 7789
 
3.1%
0.018636117 32352
12.9%
0.064060777 2998
 
1.2%
0.071357137 4657
 
1.9%
0.07389913 5051
 
2.0%
0.083414031 1403
 
0.6%
0.300975113 692
 
0.3%
0.307169524 3332
 
1.3%
ValueCountFrequency (%)
7.822542545 1
< 0.1%
7.821960707 1
< 0.1%
7.817382808 1
< 0.1%
7.805034958 1
< 0.1%
7.76983337 1
< 0.1%
7.737456532 1
< 0.1%
7.734161205 1
< 0.1%
7.713017949 1
< 0.1%
7.704642029 1
< 0.1%
7.698944244 1
< 0.1%

Label
Categorical

High correlation 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size15.7 MiB
0
164333 
1
85667 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters250000
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 164333
65.7%
1 85667
34.3%

Length

2025-09-15T13:06:25.064970image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-09-15T13:06:25.562814image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
ValueCountFrequency (%)
0 164333
65.7%
1 85667
34.3%

Most occurring characters

ValueCountFrequency (%)
0 164333
65.7%
1 85667
34.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 250000
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 164333
65.7%
1 85667
34.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 250000
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 164333
65.7%
1 85667
34.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 250000
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 164333
65.7%
1 85667
34.3%

Interactions

2025-09-15T13:05:48.181621image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:52.397182image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:57.299863image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:03.213375image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:07.652843image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
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2025-09-15T13:04:19.819545image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:24.931412image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:29.735487image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:34.463500image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:40.168731image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:50.571031image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:00.415801image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:08.922944image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:18.069987image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:26.403235image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:34.565292image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:44.390612image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:54.506914image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:55.621402image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:01.538619image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:06.167949image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:10.720312image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:15.316755image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:20.088340image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:25.229850image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:29.966060image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:34.670454image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:40.688901image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:51.134735image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:00.857115image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:09.320066image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:18.555664image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:26.831769image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:35.057721image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:44.921252image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:55.023040image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:55.860254image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:01.914844image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:06.426975image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:11.021775image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:15.557735image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:20.384687image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:25.529653image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:30.246792image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:34.932998image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:41.165981image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:51.683049image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:01.343336image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:09.776774image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:19.083499image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:27.287659image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:36.525659image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:45.439378image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:55.453238image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:56.139231image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:02.163511image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:06.649847image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:11.273236image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:15.851851image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:20.679152image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:25.804385image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:30.542876image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:35.162999image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:41.672463image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:52.227534image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:01.819113image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:10.270878image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:19.536866image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:27.701319image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:36.995107image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:45.958515image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:55.947149image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:56.411843image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:02.370354image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:06.898606image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:11.522790image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:16.026086image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:20.854698image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:26.091914image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:30.793754image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:35.434435image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:42.156145image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:52.770274image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:02.261203image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:10.740737image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:20.051891image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:28.122921image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:37.481593image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:46.476827image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:56.445937image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:56.687722image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:02.648729image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:07.122231image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:11.778190image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:16.256107image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:21.182225image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:26.353718image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:31.001316image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:35.648639image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:43.492709image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:53.242155image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:02.695037image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:11.242285image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:20.507020image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:28.544699image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:37.906410image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:47.004053image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:56.931951image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:03:57.003237image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:02.907318image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:07.415216image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:12.022093image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:16.494865image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:21.405858image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:26.655843image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:31.311719image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:35.854490image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:44.044711image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:04:53.787785image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:03.145083image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:11.763799image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:20.997855image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:28.991235image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:38.483572image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
2025-09-15T13:05:47.560005image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/

Correlations

2025-09-15T13:06:25.961017image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
DER_deltar_tau_lepDER_mass_MMCDER_mass_transverse_met_lepDER_mass_visDER_met_phi_centralityDER_pt_totLabelPRI_jet_leading_etaPRI_jet_leading_phiPRI_jet_subleading_etaPRI_jet_subleading_phiPRI_lep_etaPRI_lep_phiPRI_metPRI_met_phiPRI_tau_etaPRI_tau_phiPRI_tau_ptWeight
DER_deltar_tau_lep1.0000.4460.0400.592-0.200-0.1230.1520.0000.010-0.0000.005-0.001-0.000-0.406-0.0020.003-0.011-0.1170.167
DER_mass_MMC0.4461.000-0.2210.6680.2310.0330.3120.0010.005-0.001-0.0040.007-0.002-0.1580.0050.003-0.0060.351-0.261
DER_mass_transverse_met_lep0.040-0.2211.0000.106-0.368-0.0340.3190.0000.008-0.0000.004-0.009-0.0000.277-0.017-0.0030.002-0.2400.504
DER_mass_vis0.5920.6680.1061.000-0.097-0.0240.1600.0020.008-0.002-0.0010.001-0.000-0.187-0.0020.003-0.0060.375-0.010
DER_met_phi_centrality-0.2000.231-0.368-0.0971.0000.2160.2940.003-0.005-0.002-0.0040.0130.0000.1200.0090.006-0.0020.102-0.411
DER_pt_tot-0.1230.033-0.034-0.0240.2161.0000.000-0.003-0.0000.001-0.0040.009-0.0030.1640.0020.0040.0000.063-0.173
Label0.1520.3120.3190.1600.2940.0001.0000.2020.1330.1880.1310.1440.0030.0160.0090.1110.0050.0690.754
PRI_jet_leading_eta0.0000.0010.0000.0020.003-0.0030.2021.000-0.006-0.121-0.0010.1790.004-0.0000.0020.1600.001-0.0010.001
PRI_jet_leading_phi0.0100.0050.0080.008-0.005-0.0000.133-0.0061.0000.000-0.0600.001-0.2640.002-0.277-0.001-0.1620.0030.005
PRI_jet_subleading_eta-0.000-0.001-0.000-0.002-0.0020.0010.188-0.1210.0001.000-0.0010.081-0.0030.003-0.0030.0770.001-0.0010.000
PRI_jet_subleading_phi0.005-0.0040.004-0.001-0.004-0.0040.131-0.001-0.060-0.0011.0000.001-0.088-0.003-0.0840.000-0.065-0.0070.002
PRI_lep_eta-0.0010.007-0.0090.0010.0130.0090.1440.1790.0010.0810.0011.0000.001-0.0010.0020.563-0.0040.000-0.013
PRI_lep_phi-0.000-0.002-0.000-0.0000.000-0.0030.0030.004-0.264-0.003-0.0880.0011.000-0.0020.0230.002-0.2080.004-0.003
PRI_met-0.406-0.1580.277-0.1870.1200.1640.016-0.0000.0020.003-0.003-0.001-0.0021.000-0.003-0.0010.0070.033-0.037
PRI_met_phi-0.0020.005-0.017-0.0020.0090.0020.0090.002-0.277-0.003-0.0840.0020.023-0.0031.0000.0000.0330.004-0.010
PRI_tau_eta0.0030.003-0.0030.0030.0060.0040.1110.160-0.0010.0770.0000.5630.002-0.0010.0001.000-0.002-0.002-0.004
PRI_tau_phi-0.011-0.0060.002-0.006-0.0020.0000.0050.001-0.1620.001-0.065-0.004-0.2080.0070.033-0.0021.000-0.0030.003
PRI_tau_pt-0.1170.351-0.2400.3750.1020.0630.069-0.0010.003-0.001-0.0070.0000.0040.0330.004-0.002-0.0031.000-0.390
Weight0.167-0.2610.504-0.010-0.411-0.1730.7540.0010.0050.0000.002-0.013-0.003-0.037-0.010-0.0040.003-0.3901.000

Missing values

2025-09-15T13:05:57.671027image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
A simple visualization of nullity by column.
2025-09-15T13:05:59.481819image/svg+xmlMatplotlib v3.7.5, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

DER_mass_MMCDER_mass_transverse_met_lepDER_mass_visDER_deltar_tau_lepDER_pt_totDER_met_phi_centralityPRI_tau_ptPRI_tau_etaPRI_tau_phiPRI_lep_etaPRI_lep_phiPRI_metPRI_met_phiPRI_jet_leading_etaPRI_jet_leading_phiPRI_jet_subleading_etaPRI_jet_subleading_phiWeightLabel
EventId
100000138.47051.65597.8273.06441.9281.39632.6381.0170.3812.273-2.41416.824-0.2772.1500.4441.240-2.4750.0026531
100001160.93768.768103.2353.4732.0781.41442.0142.039-3.0110.5010.10344.704-1.9160.7251.1580.0000.0002.2335840
1000020.000162.172125.9533.1489.3361.41432.154-0.705-2.093-0.9531.05254.283-2.1862.053-2.0280.0000.0002.3473890
100003143.90581.41780.9433.3100.414-1.28522.647-1.6550.010-0.522-3.10031.0820.0600.0000.0000.0000.0005.4463780
100004175.86416.915134.8053.89116.405-1.38528.209-2.197-2.2310.7981.5692.723-0.8710.0000.0000.0000.0006.2453330
10000589.74413.55059.1491.36261.6190.47953.6510.3711.329-0.8841.85740.7352.237-2.412-0.6530.2243.1060.0834140
100006148.75428.862107.7822.9412.5451.39328.8501.1132.4090.675-0.96638.421-1.4430.8641.4500.131-2.7670.0026531
100007154.91610.41894.7142.8971.526-1.30578.8000.6541.5470.506-1.34722.275-1.761-0.715-1.7240.0000.0000.0186361
100008105.59450.559100.9892.9044.288-1.36639.0082.433-2.5320.2101.88437.7910.0240.0000.0000.0000.0005.2960030
100009128.05388.94169.2721.60928.8590.53854.646-1.5330.416-0.317-0.636132.6780.845-2.767-2.5140.0000.0000.0015021
DER_mass_MMCDER_mass_transverse_met_lepDER_mass_visDER_deltar_tau_lepDER_pt_totDER_met_phi_centralityPRI_tau_ptPRI_tau_etaPRI_tau_phiPRI_lep_etaPRI_lep_phiPRI_metPRI_met_phiPRI_jet_leading_etaPRI_jet_leading_phiPRI_jet_subleading_etaPRI_jet_subleading_phiWeightLabel
EventId
349990127.82282.865100.0243.2100.860-1.32121.474-0.6401.6181.391-0.86735.8472.6740.0000.0000.0000.0006.3469340
349991133.45777.54088.9892.4842.490-0.08458.596-0.834-0.711-1.1721.74941.870-1.073-1.2342.5210.0000.0000.0015021
3499920.00038.083749.9704.35144.689-1.413298.0351.110-0.023-1.9323.088159.927-2.861-0.996-3.1090.5150.4160.7440560
349993130.0753.91866.7813.10249.937-0.63427.3642.4031.3481.775-1.68967.702-1.768-0.3581.0930.578-2.2150.0015031
349994217.02047.15662.8242.3183.6281.39328.5861.0941.7290.700-0.55597.7370.2200.2373.126-0.058-1.1370.0640610
3499950.00071.98936.5481.3925.042-1.41424.754-0.414-0.905-0.9500.38046.5202.8590.0000.0000.0000.0004.5050830
3499960.00058.17968.0832.58522.439-1.34523.416-1.6092.7760.3081.04246.737-0.8670.0000.0000.0000.0002.4972590
349997105.45760.52675.8392.39022.1830.52935.636-0.266-3.1320.3810.85123.419-2.8901.800-0.1660.0000.0000.0186361
34999894.95119.36268.8123.36513.5041.41427.944-2.2112.792-0.874-0.29612.1500.8110.0000.0000.0000.0001.6816110
3499990.00072.75670.8312.0257.479-1.41143.0031.6852.6531.4900.63740.729-1.5960.0000.0000.0000.0001.8774740